Smart Logistics Global Stock Technical Analysis
| SLGB Stock | 1.11 0.13 13.27% |
As of the 26th of December, Smart Logistics has the Variance of 159.13, risk adjusted performance of (0.11), and Coefficient Of Variation of (578.60). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Smart Logistics Global, as well as the relationship between them.
Smart Logistics Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Smart, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SmartSmart Logistics' Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Smart Logistics technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Smart Logistics Global Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Normalized Average True Range is used to analyze tradable apportunities for Smart Logistics Global across different markets.
Smart Logistics Global Trend Analysis
Use this graph to draw trend lines for Smart Logistics Global. You can use it to identify possible trend reversals for Smart Logistics as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Smart Logistics price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Smart Logistics Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Smart Logistics Global applied against its price change over selected period. The best fit line has a slop of 0.05 , which may suggest that Smart Logistics Global market price will keep on failing further. It has 102 observation points and a regression sum of squares at 66.65, which is the sum of squared deviations for the predicted Smart Logistics price change compared to its average price change.About Smart Logistics Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Smart Logistics Global on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Smart Logistics Global based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Smart Logistics Global price pattern first instead of the macroeconomic environment surrounding Smart Logistics Global. By analyzing Smart Logistics's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Smart Logistics's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Smart Logistics specific price patterns or momentum indicators. Please read more on our technical analysis page.
Smart Logistics December 26, 2025 Technical Indicators
Most technical analysis of Smart help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Smart from various momentum indicators to cycle indicators. When you analyze Smart charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.11) | |||
| Market Risk Adjusted Performance | 2.79 | |||
| Mean Deviation | 8.23 | |||
| Coefficient Of Variation | (578.60) | |||
| Standard Deviation | 12.61 | |||
| Variance | 159.13 | |||
| Information Ratio | (0.18) | |||
| Jensen Alpha | (2.13) | |||
| Total Risk Alpha | (3.45) | |||
| Treynor Ratio | 2.78 | |||
| Maximum Drawdown | 71.85 | |||
| Value At Risk | (23.77) | |||
| Potential Upside | 25.71 | |||
| Skewness | 0.024 | |||
| Kurtosis | 2.66 |
Smart Logistics December 26, 2025 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Smart stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 22,493 | ||
| Daily Balance Of Power | 0.57 | ||
| Rate Of Daily Change | 1.13 | ||
| Day Median Price | 1.03 | ||
| Day Typical Price | 1.06 | ||
| Price Action Indicator | 0.14 |
Complementary Tools for Smart Stock analysis
When running Smart Logistics' price analysis, check to measure Smart Logistics' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Smart Logistics is operating at the current time. Most of Smart Logistics' value examination focuses on studying past and present price action to predict the probability of Smart Logistics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Smart Logistics' price. Additionally, you may evaluate how the addition of Smart Logistics to your portfolios can decrease your overall portfolio volatility.
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